Results 41 to 50 of about 335,663 (179)
An algorithm for embedding oversubscribed virtual data center
Dianxin kexue, 2017 Predictable network performance is critical for cloud applications and can be achieved by providing tenants a dedicated virtual data center (VDC) with bandwidth guarantee.The embedding problem of oversubscribed data center in physical data center network
Chukun LU, Fangfang YAN, Dong LI
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Applied SciencesGenerative linguistic steganography aims to produce texts that remain both perceptually and statistically imperceptible. The existing embedding algorithms often suffer from imbalanced candidate selection, where high-probability words are overlooked and ...
Yingquan Chen +7 more
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Applied Network Science, 2020 This paper introduces the strain elevation tension spring embedding (SETSe) algorithm. SETSe is a novel graph embedding method that uses a physical model to project feature-rich networks onto a manifold with semi-Euclidean properties.
Jonathan Bourne
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k-server via multiscale entropic regularization
, 2017 We present an $O((\log k)^2)$-competitive randomized algorithm for the $k$-server problem on hierarchically separated trees (HSTs). This is the first $o(k)$-competitive randomized algorithm for which the competitive ratio is independent of the size of ...
Bubeck, Sebastien +4 more
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Dynamic Planar Embeddings of Dynamic Graphs
, 2017 We present an algorithm to support the dynamic embedding in the plane of a dynamic graph. An edge can be inserted across a face between two vertices on the face boundary (we call such a vertex pair linkable), and edges can be deleted.
Holm, Jacob, Rotenberg, Eva
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The Globally Linear Embedding Algorithm
Proceedings of the 2012 2nd International Conference on Computer and Information Applications (ICCIA 2012), 2012 LLE is a very effective non-linear dimension reduction algorithm and widely explored in machine learning, pattern recognition, data mining and etc. Locally linear, Globally non-linear has always been regarded as the features and advantages of LLE. However, the theoretical derivation presented in this paper shows that when the size of neighborhood is ...
Jie Yun Xia, Shuai Bin Lian
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Algorithm-level approximation for fast (or not) embedded stereovision algorithm [PDF]
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, 2018 Because of the growing concern towards the energy consumption of embedded devices, the quality of an application is now considered as a new tunable parameter during the implementation phase. Approximations are then deliberately introduced to gain performance. Nevertheless, when implementing an approximate computing technique, quality deteriorations may
Bonnot, Justine +2 more
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Embedding of Virtual Network Requests over Static Wireless Multihop Networks
, 2012 Network virtualization is a technology of running multiple heterogeneous network architecture on a shared substrate network. One of the crucial components in network virtualization is virtual network embedding, which provides a way to allocate physical ...
Ok, Jungseul +4 more
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Quantifying and Reducing Stereotypes in Word Embeddings [PDF]
, 2016 Machine learning algorithms are optimized to model statistical properties of the training data. If the input data reflects stereotypes and biases of the broader society, then the output of the learning algorithm also captures these stereotypes.
Bolukbasi, Tolga +4 more
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Node Embedding over Temporal Graphs
, 2019 In this work, we present a method for node embedding in temporal graphs. We propose an algorithm that learns the evolution of a temporal graph's nodes and edges over time and incorporates this dynamics in a temporal node embedding framework for different
Guy, Ido, Radinsky, Kira, Singer, Uriel
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